Role: Software Engineer II - Splunk/CRIBL - C2C/W2
Location: Columbus OH (Onsite)
As a Software Engineer II at client within Enterprise Platforms you will administer and enhance our monitoring stack focusing on Splunk and Cribl configurations data pipelines and telemetry quality. You will help ensure logs metrics and events flow reliably across environments and you will contribute to building repeatable automated approaches that scale.
Job responsibilities
Administer and maintain Splunk configurations across environments including indexes sourcetypes inputs and props/transforms
Build and optimize SPL searches alerts dashboards and reports to support incident response and operational insights
Support the Splunk app and technology add-on lifecycle including installation upgrades configuration and user access management
Configure and manage Cribl Stream and/or Edge including routes pipelines workers and sources/destinations (for example syslog HTTP Amazon S3 Splunk and Kafka)
Implement parsing enrichment redaction sampling and suppression logic and validate pipelines through testing and previewing outputs
Manage Cribl Packs versioning and promotions across environments leveraging Git-based configuration workflows
Optimize telemetry data flow for cost and performance using filtering routing-by-criteria event shaping and load balancing
Onboard new data sources end-to-end with documentation standards and appropriate access controls
Implement data quality controls such as field extraction standards normalization approaches schema alignment and sensitive data redaction
Automate configuration deployment and validation using scripts and continuous integration/continuous delivery practices where applicable
Participate in incident triage and ingestion troubleshooting and contribute to an on-call rotation with support from senior engineers
Required qualifications capabilities and skills
Formal training or certification on software engineering concepts and 2 years applied experience
4 years of software engineering site reliability engineering or DevOps applied experience
Experience supporting Splunk fundamentals including indexes sourcetypes inputs props/transforms and SPL for searches alerts and dashboards
Experience supporting Cribl Stream and/or Edge concepts including sources destinations routes pipelines functions and Packs
Experience with scripting or automation using Python Bash or PowerShell
Working knowledge of Linux and Git-based workflows
Understanding of logging and metrics fundamentals including structured logging log levels cardinality sampling retention and backpressure
Strong problem-solving skills attention to detail and ability to learn and operate effectively in production environments
Preferred qualifications capabilities and skills
Experience with Splunk advanced capabilities such as scheduled searches macros lookups KV store performance tuning and deployment operations
Experience designing Cribl pipelines using functions such as parsing evaluation redaction serialization sampling suppression and regular expression-based extraction
Experience integrating common observability sources and destinations such as syslog Windows Event Forwarding Fluent Bit Kafka Amazon S3 Splunk HTTP Event Collector Elastic or Datadog
Exposure to additional observability tools such as Grafana or Elastic
Experience with continuous integration/continuous delivery for observability assets and configuration-as-code with automated validation
Basic networking and security knowledge including TLS certificates proxies firewalls HTTP headers and authentication patterns
Role: Software Engineer II - Splunk/CRIBL - C2C/W2 Location: Columbus OH (Onsite) As a Software Engineer II at client within Enterprise Platforms you will administer and enhance our monitoring stack focusing on Splunk and Cribl configurations data pipelines and telemetry quality. You will help...
Role: Software Engineer II - Splunk/CRIBL - C2C/W2
Location: Columbus OH (Onsite)
As a Software Engineer II at client within Enterprise Platforms you will administer and enhance our monitoring stack focusing on Splunk and Cribl configurations data pipelines and telemetry quality. You will help ensure logs metrics and events flow reliably across environments and you will contribute to building repeatable automated approaches that scale.
Job responsibilities
Administer and maintain Splunk configurations across environments including indexes sourcetypes inputs and props/transforms
Build and optimize SPL searches alerts dashboards and reports to support incident response and operational insights
Support the Splunk app and technology add-on lifecycle including installation upgrades configuration and user access management
Configure and manage Cribl Stream and/or Edge including routes pipelines workers and sources/destinations (for example syslog HTTP Amazon S3 Splunk and Kafka)
Implement parsing enrichment redaction sampling and suppression logic and validate pipelines through testing and previewing outputs
Manage Cribl Packs versioning and promotions across environments leveraging Git-based configuration workflows
Optimize telemetry data flow for cost and performance using filtering routing-by-criteria event shaping and load balancing
Onboard new data sources end-to-end with documentation standards and appropriate access controls
Implement data quality controls such as field extraction standards normalization approaches schema alignment and sensitive data redaction
Automate configuration deployment and validation using scripts and continuous integration/continuous delivery practices where applicable
Participate in incident triage and ingestion troubleshooting and contribute to an on-call rotation with support from senior engineers
Required qualifications capabilities and skills
Formal training or certification on software engineering concepts and 2 years applied experience
4 years of software engineering site reliability engineering or DevOps applied experience
Experience supporting Splunk fundamentals including indexes sourcetypes inputs props/transforms and SPL for searches alerts and dashboards
Experience supporting Cribl Stream and/or Edge concepts including sources destinations routes pipelines functions and Packs
Experience with scripting or automation using Python Bash or PowerShell
Working knowledge of Linux and Git-based workflows
Understanding of logging and metrics fundamentals including structured logging log levels cardinality sampling retention and backpressure
Strong problem-solving skills attention to detail and ability to learn and operate effectively in production environments
Preferred qualifications capabilities and skills
Experience with Splunk advanced capabilities such as scheduled searches macros lookups KV store performance tuning and deployment operations
Experience designing Cribl pipelines using functions such as parsing evaluation redaction serialization sampling suppression and regular expression-based extraction
Experience integrating common observability sources and destinations such as syslog Windows Event Forwarding Fluent Bit Kafka Amazon S3 Splunk HTTP Event Collector Elastic or Datadog
Exposure to additional observability tools such as Grafana or Elastic
Experience with continuous integration/continuous delivery for observability assets and configuration-as-code with automated validation
Basic networking and security knowledge including TLS certificates proxies firewalls HTTP headers and authentication patterns